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Tensor Spaces and Numerical Tensor Calculus

  • Book
  • © 2019

Overview

  • First monograph on this subject in the field of numerical mathematics
  • Covers algebraic and functional analysis aspects of tensor spaces
  • Focuses on the numerical treatment

Part of the book series: Springer Series in Computational Mathematics (SSCM, volume 56)

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Table of contents (17 chapters)

  1. Algebraic Tensors

  2. Functional Analysis of Tensor Spaces

  3. Numerical Treatment

Keywords

About this book

Special numerical techniques are already needed to deal with n × n matrices for large n. Tensor data are of size n × n ×...× n=nd, where nd exceeds the computer memory by far. They appear for problems of high spatial dimensions. Since standard methods fail, a particular tensor calculus is needed to treat such problems. This monograph describes the methods by which tensors can be practically treated and shows how numerical operations can be performed. Applications include problems from quantum chemistry, approximation of multivariate functions, solution of partial differential equations, for example with stochastic coefficients, and more. In addition to containing corrections of the unavoidable misprints, this revised second edition includes new parts ranging from single additional statements to new subchapters. The book is mainly addressed to numerical mathematicians and researchers working with high-dimensional data. It also touches problems related to Geometric Algebra.


Authors and Affiliations

  • Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany

    Wolfgang Hackbusch

About the author

Wolfgang Hackbusch is working in the field of numerical mathematics for partial differential equations and integral equations. He has published monographs, e.g., about the multi-grid method, about the numerical analysis of elliptic pdes, about iterative solution of large systems of equation, and about the technique of hierarchical matrices.

Bibliographic Information

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